Triple

T3196793
Position Surface form Disambiguated ID Type / Status
Subject Jodie Comer E66953 entity
Predicate hasRole P161 FINISHED
Object Villanelle E336031 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Villanelle | Statement: [Jodie Comer, hasRole, Villanelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villanelle
Context triple: [Jodie Comer, hasRole, Villanelle]
  • A. Villanelle chosen
    Villanelle is a stylish, psychopathic assassin and central character in the television series "Killing Eve."
  • B. Sonnets
    Sonnets is a celebrated collection of 154 lyric poems by William Shakespeare that explore themes such as love, beauty, time, and mortality.
  • C. The Poet
    The Poet is a reflective, storytelling character in Henry Wadsworth Longfellow’s narrative poem collection "Tales of a Wayside Inn," representing the voice of the poet among the gathered guests.
  • D. The Poet
    "The Poet" is a seminal essay by Ralph Waldo Emerson that explores the nature, role, and visionary power of the poet in society and in expressing universal truths.
  • E. Spenserian stanza
    A Spenserian stanza is a nine-line poetic form with a specific rhyme scheme and meter, famously used by Edmund Spenser in "The Faerie Queene" and later adopted by Romantic poets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7177b488190b7a1b40ff3fae15f completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262181a4c8190b31bbb6bd7bef436 completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.